Plurigaussian Simulation

Plurigaussian Simulation is a conditional simulation method that belongs to the class of geostatistical techniques for modeling categorical variables, distinguished by its use of multiple correlated Gaussian random fields to represent complex lithological architectures and enforce geological consistency through cutoff thresholds.

17

Publications

500

Citations

33

Authors

18

Institutions

Publications per year

2017–2026

2

Variants

Plurigaussian Modeling

Authors

33

  1. XE
    Xavier Emery

    University of Chile, Chile

    4 publications · 150 citations

    4

    h-index

  2. HT
    Hassan Talebi

    Edith Cowan University, Australia

    2 publications · 29 citations

    2

    h-index

  3. CX
    Chaoshui Xu

    The University of Adelaide, Australia

    2 publications · 72 citations

    2

    h-index

  4. NM
    Nasser Madani

    Nazarbayev University, Kazakhstan

    2 publications · 61 citations

    2

    h-index

  5. PA
    Peter A. Dowd

    The University of Adelaide, Australia

    2 publications · 72 citations

    2

    h-index

1–5 of 33

Venues

  1. Computers & Geosciences

    CAGEO · 3 publications · 168 citations

    3

    h-index

  2. Open Geosciences

    2 publications · 26 citations

    2

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. Mathematical Geosciences

    1 publications · 14 citations

    1

    h-index

1–5